{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "## 导入数据集"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import torch\n",
    "from torchvision import datasets,transforms\n",
    "import torchvision\n",
    "import matplotlib.pyplot as plt\n",
    "import torch.nn as nn"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T01:23:29.849138400Z",
     "start_time": "2023-11-02T01:22:54.025829300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "data": {
      "text/plain": "torch.Size([3, 32, 32, 50000])"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_path = '../data2/p1ch7'\n",
    "cifar10 = datasets.CIFAR10(data_path,transform=transforms.ToTensor())\n",
    "imgs = torch.stack([img_t for img_t,_ in cifar10],dim=3)\n",
    "imgs.shape"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T01:27:17.990538800Z",
     "start_time": "2023-11-02T01:27:01.191283200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "data": {
      "text/plain": "tensor([0.4914, 0.4822, 0.4465])"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs.view(3,-1).mean(dim=1) # 平均值"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T01:29:05.003432400Z",
     "start_time": "2023-11-02T01:29:04.782056Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "tensor([0.2470, 0.2435, 0.2616])"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs.view(3,-1).std(dim=1) # 标准查"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T01:29:30.195834200Z",
     "start_time": "2023-11-02T01:29:29.056884Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [],
   "source": [
    "transformed_cifar10 = datasets.CIFAR10(\n",
    "    data_path,train=True,download=False,\n",
    "    transform=transforms.Compose([\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize((0.4914,0.4822,0.4465),(0.2470,0.2435,0.2616))\n",
    "    ])\n",
    ")\n",
    "\n",
    "transformed_cifar10_val = datasets.CIFAR10(\n",
    "    data_path,train=False,download=False,\n",
    "    transform=transforms.Compose([\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize((0.4914,0.4822,0.4465),(0.2470,0.2435,0.2616))\n",
    "    ])\n",
    ")\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T01:32:22.013302400Z",
     "start_time": "2023-11-02T01:32:20.809243100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [],
   "source": [
    "label_map = {0:0,2:1}\n",
    "class_names = ['飞机','鸟']\n",
    "cifar2 = [(img,label_map[label]) for img,label in transformed_cifar10 if label in [0,2]]\n",
    "cifar2_val = [(img,label_map[label])for img,label in transformed_cifar10_val if label in [0,2]]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T01:36:57.131795500Z",
     "start_time": "2023-11-02T01:36:41.736911400Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "鸟\n",
      "鸟\n",
      "飞机\n",
      "飞机\n",
      "鸟\n",
      "鸟\n",
      "鸟\n",
      "鸟\n",
      "鸟\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "鸟\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "鸟\n",
      "飞机\n",
      "飞机\n",
      "鸟\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "鸟\n",
      "鸟\n",
      "飞机\n",
      "鸟\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "鸟\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "鸟\n",
      "鸟\n",
      "飞机\n",
      "鸟\n",
      "飞机\n",
      "鸟\n",
      "鸟\n",
      "鸟\n",
      "鸟\n",
      "鸟\n",
      "飞机\n",
      "鸟\n",
      "鸟\n",
      "鸟\n",
      "鸟\n",
      "飞机\n",
      "鸟\n",
      "鸟\n",
      "飞机\n",
      "鸟\n",
      "鸟\n",
      "飞机\n",
      "飞机\n",
      "飞机\n",
      "鸟\n",
      "飞机\n",
      "鸟\n"
     ]
    }
   ],
   "source": [
    "trainset = torch.utils.data.DataLoader(cifar2,batch_size=64,shuffle=True)\n",
    "testset = torch.utils.data.DataLoader(cifar2,batch_size=64,shuffle=True)\n",
    "def imshow(inputs):\n",
    "    inputs = inputs/2+0.5\n",
    "    inputs = inputs.numpy().transpose(1,2,0)\n",
    "    plt.imshow(inputs)\n",
    "    plt.show()\n",
    "\n",
    "inputs,labels = next(iter(trainset))\n",
    "imshow(torchvision.utils.make_grid(inputs))\n",
    "for i in labels:\n",
    "    print(class_names[i])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T01:42:17.461075Z",
     "start_time": "2023-11-02T01:42:11.711626600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [],
   "source": [
    "## 搭建网络\n",
    "import torch.nn.functional as F\n",
    "class Net(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.conv1 = nn.Conv2d(3,16,kernel_size=3,padding=1)\n",
    "        self.conv2 = nn.Conv2d(16,8,kernel_size=3,padding=1)\n",
    "        self.fc1 = nn.Linear(8*8*8,32)\n",
    "        self.fc2 = nn.Linear(32,2)\n",
    "\n",
    "    def forward(self,x):\n",
    "        out = F.max_pool2d(torch.relu(self.conv1(x)),2) # 第一层卷积\n",
    "        out = F.max_pool2d(torch.relu(self.conv2(out)),2) # 第二层卷积\n",
    "        out = out.view(-1,8*8*8) # 将每张图片对应的所有特征图转化为一维向量\n",
    "        out = torch.relu(self.fc1(out)) # 第一层全连接\n",
    "        out = self.fc2(out) # 第二层全连接\n",
    "        return out"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T01:54:20.975841800Z",
     "start_time": "2023-11-02T01:54:20.948843600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [],
   "source": [
    "import datetime\n",
    "def training_loop(n_epochs,optimizer,model,loss_fn,train_loader):\n",
    "    for epoch in range(1,n_epochs+1):\n",
    "        loss_train=0.0\n",
    "        for imgs,labels in train_loader:\n",
    "            imgs,labels=imgs.cuda(),labels.cuda()\n",
    "            outputs = model(imgs)\n",
    "            loss = loss_fn(outputs,labels)\n",
    "            optimizer.zero_grad()\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "            loss_train+=loss.item()\n",
    "        if epoch ==1 or epoch%10==0:\n",
    "            print('{} Epoch{},Training loss{}'.format(datetime.datetime.now(),epoch,loss_train/len(trainset)))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T02:39:21.811364500Z",
     "start_time": "2023-11-02T02:39:21.796371800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-11-02 10:04:56.957186 Epoch1,Training loss0.6161849265265616\n",
      "2023-11-02 10:05:02.362186 Epoch10,Training loss0.3242249843800903\n",
      "2023-11-02 10:05:08.282191 Epoch20,Training loss0.2853818952467791\n",
      "2023-11-02 10:05:14.238185 Epoch30,Training loss0.2592193956967372\n",
      "2023-11-02 10:05:21.944188 Epoch40,Training loss0.23715856149318112\n",
      "2023-11-02 10:05:28.021185 Epoch50,Training loss0.2208923041156143\n",
      "2023-11-02 10:05:35.253184 Epoch60,Training loss0.2004634471266133\n",
      "2023-11-02 10:05:41.548185 Epoch70,Training loss0.1864862481642301\n",
      "2023-11-02 10:05:47.431185 Epoch80,Training loss0.17037280686911505\n"
     ]
    }
   ],
   "source": [
    "import torch.optim as optim\n",
    "net = Net().cuda()\n",
    "optimizer = optim.SGD(net.parameters(),lr=1e-2)\n",
    "loss_fn = nn.CrossEntropyLoss()\n",
    "training_loop(n_epochs=80,optimizer=optimizer,model=net,loss_fn=loss_fn,train_loader=trainset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T02:05:47.635426900Z",
     "start_time": "2023-11-02T02:03:51.283928200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "def test_loop(model,test_loader):\n",
    "    correct=0\n",
    "    total = 0\n",
    "    with torch.no_grad():\n",
    "        for imgs,labels in test_loader:\n",
    "            imgs,labels = imgs.cuda(),labels.cuda()\n",
    "            outputs = model(imgs)\n",
    "            _,preds = torch.max(outputs,dim=1)\n",
    "            correct+=int((preds==labels).sum())\n",
    "            total+=labels.shape[0]\n",
    "    print('精度:{:.3f}%'.format(correct/total*100))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T02:11:39.997022300Z",
     "start_time": "2023-11-02T02:11:39.975690100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度:90.850%\n"
     ]
    }
   ],
   "source": [
    "test_loop(net.eval(),testset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T02:11:54.424702800Z",
     "start_time": "2023-11-02T02:11:53.168529100Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 尝试提升模型精度"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### 方法一,提升模型宽度(增加通道数,增加神经元个数)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "38386"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class NetWidth(nn.Module):\n",
    "    def __init__(self,n_chans1=32):\n",
    "        super().__init__()\n",
    "        self.n_chans1 = n_chans1\n",
    "        self.conv1 = nn.Conv2d(3,n_chans1,kernel_size=3,padding=1)\n",
    "        self.conv2 = nn.Conv2d(n_chans1,n_chans1//2,kernel_size=3,padding=1)\n",
    "        self.fc1 = nn.Linear(8*8*n_chans1//2,32)\n",
    "        self.fc2 = nn.Linear(32,2)\n",
    "\n",
    "    def forward(self,x):\n",
    "        out = F.max_pool2d(torch.relu(self.conv1(x)),2)\n",
    "        out = F.max_pool2d(torch.relu(self.conv2(out)),2)\n",
    "        out = out.view(-1,8*8*self.n_chans1//2)\n",
    "        out = torch.relu(self.fc1(out))\n",
    "        out = self.fc2(out)\n",
    "        return out\n",
    "\n",
    "netwidth = NetWidth().cuda()\n",
    "sum(p.numel() for p in netwidth.parameters())"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T02:38:42.039480600Z",
     "start_time": "2023-11-02T02:38:41.551453600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-11-02 10:40:26.098807 Epoch1,Training loss0.6016055787824521\n",
      "2023-11-02 10:40:33.176759 Epoch10,Training loss0.32720149037944285\n",
      "2023-11-02 10:40:41.162804 Epoch20,Training loss0.2684559722425072\n",
      "2023-11-02 10:40:49.010761 Epoch30,Training loss0.23046310302937867\n",
      "2023-11-02 10:40:56.916808 Epoch40,Training loss0.20358236257437687\n",
      "2023-11-02 10:41:04.771758 Epoch50,Training loss0.17534297301321272\n",
      "2023-11-02 10:41:12.673791 Epoch60,Training loss0.14821325925291534\n",
      "2023-11-02 10:41:20.550756 Epoch70,Training loss0.1275731928314373\n",
      "2023-11-02 10:41:28.444784 Epoch80,Training loss0.10722989556943155\n"
     ]
    }
   ],
   "source": [
    "optimizer = optim.SGD(netwidth.parameters(),lr=0.01)\n",
    "training_loop(n_epochs=80,optimizer=optimizer,loss_fn=loss_fn,train_loader=trainset,model=netwidth)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T02:41:28.450762500Z",
     "start_time": "2023-11-02T02:40:25.030795900Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度:93.400%\n"
     ]
    }
   ],
   "source": [
    "test_loop(netwidth.eval(),testset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T02:42:29.155505500Z",
     "start_time": "2023-11-02T02:42:28.481480Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### 尝试使用Dropout(随机失活)对抗过拟合"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [],
   "source": [
    "class NetDropout(nn.Module):\n",
    "    def __init__(self,n_chans1=32):\n",
    "        super().__init__()\n",
    "        self.n_chans1=n_chans1\n",
    "        self.conv1=nn.Conv2d(3,n_chans1,kernel_size=3,padding=1)\n",
    "        self.conv1_dropout =nn.Dropout2d(p=0.4)\n",
    "        self.conv2 = nn.Conv2d(n_chans1,n_chans1//2,kernel_size=3,padding=1)\n",
    "        self.conv2_dropout = nn.Dropout2d(p=0.4)\n",
    "        self.fc1 = nn.Linear(8*8*n_chans1//2,32)\n",
    "        self.fc2 = nn.Linear(32,2)\n",
    "\n",
    "    def forward(self,x):\n",
    "        out = F.max_pool2d(torch.tanh(self.conv1(x)),2)\n",
    "        out = self.conv1_dropout(out)\n",
    "        out = F.max_pool2d(torch.tanh(self.conv2(out)),2)\n",
    "        out = self.conv2_dropout(out)\n",
    "        out = out.view(-1,8*8*self.n_chans1//2)\n",
    "        out = torch.tanh(self.fc1(out))\n",
    "        out = self.fc2(out)\n",
    "        return out"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T02:57:13.124760100Z",
     "start_time": "2023-11-02T02:57:13.097761800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-11-02 10:58:57.815386 Epoch1,Training loss0.5743676851129835\n",
      "2023-11-02 10:59:05.147385 Epoch10,Training loss0.38380137769279965\n",
      "2023-11-02 10:59:13.515385 Epoch20,Training loss0.354221998411379\n",
      "2023-11-02 10:59:21.664385 Epoch30,Training loss0.3342703167989755\n",
      "2023-11-02 10:59:29.868385 Epoch40,Training loss0.3156750015202601\n",
      "2023-11-02 10:59:38.037386 Epoch50,Training loss0.3030543276079141\n",
      "2023-11-02 10:59:46.303385 Epoch60,Training loss0.289075889120436\n",
      "2023-11-02 10:59:54.544387 Epoch70,Training loss0.27123521182947097\n",
      "2023-11-02 11:00:02.802385 Epoch80,Training loss0.26054309104468415\n"
     ]
    }
   ],
   "source": [
    "netdropout = NetDropout().cuda()\n",
    "optimizer = optim.SGD(netdropout.parameters(),lr=0.01)\n",
    "training_loop(n_epochs=80,optimizer=optimizer,model=netdropout,loss_fn=loss_fn,train_loader=trainset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T03:00:02.808426900Z",
     "start_time": "2023-11-02T02:58:55.989039Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度:91.110%\n"
     ]
    }
   ],
   "source": [
    "test_loop(netdropout.eval(),testset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T03:00:25.042428400Z",
     "start_time": "2023-11-02T03:00:24.360425700Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### 批量归一化"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [],
   "source": [
    "class NetBatchNorm(nn.Module):\n",
    "    def __init__(self,n_chans1=32):\n",
    "        super().__init__()\n",
    "        self.n_chans1 = n_chans1\n",
    "        self.conv1 = nn.Conv2d(3,n_chans1,kernel_size=3,padding=1)\n",
    "        self.conv1_batchnorm = nn.BatchNorm2d(num_features=n_chans1)\n",
    "        self.conv2 = nn.Conv2d(n_chans1,n_chans1//2,kernel_size=3,padding=1)\n",
    "        self.conv2_batchnorm = nn.BatchNorm2d(num_features=n_chans1//2)\n",
    "        self.fc1 = nn.Linear(8*8*n_chans1//2,32)\n",
    "        self.fc2 = nn.Linear(32,2)\n",
    "\n",
    "    def forward(self,x):\n",
    "        out = self.conv1_batchnorm(self.conv1(x)) # 卷积之后在归一化\n",
    "        out = F.max_pool2d(torch.tanh(out),2) #归一化后使用激活函数并池化\n",
    "        out = self.conv2_batchnorm(self.conv2(out))\n",
    "        out = F.max_pool2d(torch.tanh(out),2)\n",
    "        out = out.view(-1,8*8*self.n_chans1//2)\n",
    "        out = torch.tanh(self.fc1(out))\n",
    "        out = self.fc2(out)\n",
    "        return out"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T03:21:04.357009900Z",
     "start_time": "2023-11-02T03:21:04.332974800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-11-02 11:21:06.657283 Epoch1,Training loss0.4474615872285928\n",
      "2023-11-02 11:21:15.507281 Epoch10,Training loss0.266283558812111\n",
      "2023-11-02 11:21:25.567277 Epoch20,Training loss0.21466100434209132\n",
      "2023-11-02 11:21:35.154277 Epoch30,Training loss0.1752630381067847\n",
      "2023-11-02 11:21:44.771207 Epoch40,Training loss0.1392973774842396\n",
      "2023-11-02 11:21:54.409211 Epoch50,Training loss0.10264619696102324\n",
      "2023-11-02 11:22:03.960818 Epoch60,Training loss0.07560208552534793\n",
      "2023-11-02 11:22:13.629818 Epoch70,Training loss0.05332232891303149\n",
      "2023-11-02 11:22:23.209818 Epoch80,Training loss0.04093032445355206\n"
     ]
    }
   ],
   "source": [
    "netBatchnorm = NetBatchNorm().cuda()\n",
    "optimizer = optim.SGD(netBatchnorm.parameters(),lr=0.01)\n",
    "training_loop(n_epochs=80,loss_fn=loss_fn,optimizer=optimizer,train_loader=trainset,model=netBatchnorm)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T03:22:23.215821300Z",
     "start_time": "2023-11-02T03:21:04.891879800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度:98.860%\n"
     ]
    }
   ],
   "source": [
    "test_loop(netBatchnorm.eval(),testset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T03:23:02.002231400Z",
     "start_time": "2023-11-02T03:23:01.021223100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "outputs": [],
   "source": [
    "class NetRes(nn.Module):\n",
    "    def __init__(self,n_chans1=32):\n",
    "        super().__init__()\n",
    "        self.n_chans1=n_chans1\n",
    "        self.conv1 = nn.Conv2d(3,n_chans1,kernel_size=3,padding=1)\n",
    "        self.conv2 = nn.Conv2d(n_chans1,n_chans1//2,kernel_size=3,padding=1)\n",
    "        self.conv3 = nn.Conv2d(n_chans1//2,n_chans1//2,kernel_size=3,padding=1)\n",
    "        self.fc1 = nn.Linear(4*4*n_chans1//2,32)\n",
    "        self.fc2 = nn.Linear(32,2)\n",
    "\n",
    "    def forward(self,x):\n",
    "        out = F.max_pool2d(torch.relu(self.conv1(x)),2)\n",
    "        out = F.max_pool2d(torch.relu(self.conv2(out)),2)\n",
    "        out1 = out\n",
    "        out = F.max_pool2d(torch.relu(self.conv3(out))+out1,2)\n",
    "        out = out.view(-1,4*4*self.n_chans1//2)\n",
    "        out = torch.relu(self.fc1(out))\n",
    "        out = self.fc2(out)\n",
    "        return out"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T04:50:25.295008100Z",
     "start_time": "2023-11-02T04:50:25.237007500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-11-02 12:52:17.247842 Epoch1,Training loss0.6394871685914932\n",
      "2023-11-02 12:52:25.023815 Epoch10,Training loss0.32512560980335165\n",
      "2023-11-02 12:52:33.498815 Epoch20,Training loss0.2813636116730939\n",
      "2023-11-02 12:52:42.028343 Epoch30,Training loss0.24555205824268853\n",
      "2023-11-02 12:52:50.637356 Epoch40,Training loss0.2112682315099771\n",
      "2023-11-02 12:52:59.124344 Epoch50,Training loss0.18654608308889303\n",
      "2023-11-02 12:53:07.539343 Epoch60,Training loss0.16150562906531013\n",
      "2023-11-02 12:53:16.064342 Epoch70,Training loss0.13458912978601303\n",
      "2023-11-02 12:53:24.502390 Epoch80,Training loss0.11442561021703444\n"
     ]
    }
   ],
   "source": [
    "netres = NetRes().cuda()\n",
    "optimizer = optim.SGD(netres.parameters(),lr=0.01)\n",
    "training_loop(n_epochs=80,optimizer=optimizer,model=netres,loss_fn=loss_fn,train_loader=trainset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T04:53:24.507344700Z",
     "start_time": "2023-11-02T04:52:12.196087600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度:96.640%\n"
     ]
    }
   ],
   "source": [
    "test_loop(netres,testset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:19:31.379696600Z",
     "start_time": "2023-11-02T05:19:30.208883500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "outputs": [],
   "source": [
    "class ResBlock(nn.Module):\n",
    "    def __init__(self,n_chans):\n",
    "        super(ResBlock,self).__init__()\n",
    "        self.conv = nn.Conv2d(n_chans,n_chans,kernel_size=3,padding=1,bias=True)\n",
    "        self.batch_norm = nn.BatchNorm2d(n_chans)\n",
    "        torch.nn.init.kaiming_normal_(self.conv.weight,nonlinearity='relu')\n",
    "        torch.nn.init.zeros_(self.batch_norm.bias)\n",
    "\n",
    "    def forward(self,x):\n",
    "        out = self.conv(x)\n",
    "        out = self.batch_norm(out)\n",
    "        out = torch.relu(out)\n",
    "        return out+x\n",
    "\n",
    "\n",
    "class NetResDeep(nn.Module):\n",
    "    def __init__(self,n_chans1=32,n_blocks=10):\n",
    "        super().__init__()\n",
    "        self.n_chans1=n_chans1\n",
    "        self.conv1 = nn.Conv2d(3,n_chans1,kernel_size=3,padding=1)\n",
    "        self.resblocks=nn.Sequential(\n",
    "            *(n_blocks*[ResBlock(n_chans=n_chans1)])\n",
    "        )\n",
    "        self.fc1 = nn.Linear(8*8*n_chans1,32)\n",
    "        self.fc2 = nn.Linear(32,2)\n",
    "\n",
    "    def forward(self,x):\n",
    "        out = F.max_pool2d(torch.relu(self.conv1(x)),2)\n",
    "        out = self.resblocks(out)\n",
    "        out = F.max_pool2d(out,2)\n",
    "        out = out.view(-1,8*8*self.n_chans1)\n",
    "        out = torch.relu(self.fc1(out))\n",
    "        out = self.fc2(out)\n",
    "        return out"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:20:46.523462100Z",
     "start_time": "2023-11-02T05:20:46.513423400Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-11-02 13:20:50.554702 Epoch1,Training loss0.5204233853680313\n",
      "2023-11-02 13:21:17.141699 Epoch10,Training loss0.25592750339371384\n",
      "2023-11-02 13:21:46.560704 Epoch20,Training loss0.17519777998992592\n",
      "2023-11-02 13:22:16.090251 Epoch30,Training loss0.09808561978209171\n",
      "2023-11-02 13:22:45.822903 Epoch40,Training loss0.060000821681111864\n",
      "2023-11-02 13:23:15.453769 Epoch50,Training loss0.0988372122501112\n",
      "2023-11-02 13:23:45.056629 Epoch60,Training loss0.07862786862963608\n",
      "2023-11-02 13:24:14.571916 Epoch70,Training loss0.03669059534919015\n",
      "2023-11-02 13:24:44.093489 Epoch80,Training loss0.011555997821632892\n"
     ]
    }
   ],
   "source": [
    "netresdeep = NetResDeep().cuda()\n",
    "optimizer = optim.SGD(netresdeep.parameters(),lr=0.003)\n",
    "training_loop(n_epochs=80,model=netresdeep,loss_fn=loss_fn,optimizer=optimizer,train_loader=trainset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:24:44.100455900Z",
     "start_time": "2023-11-02T05:20:47.225705300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度:69.010%\n"
     ]
    }
   ],
   "source": [
    "test_loop(netresdeep.eval(),test_loader=testset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:25:02.499110300Z",
     "start_time": "2023-11-02T05:25:01.116085300Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-11-02 13:51:38.908370 Epoch1,Training loss0.511737511226326\n",
      "2023-11-02 13:51:55.285372 Epoch10,Training loss0.25809607085338826\n",
      "2023-11-02 13:52:13.831409 Epoch20,Training loss0.18536473972022913\n",
      "2023-11-02 13:52:32.440432 Epoch30,Training loss0.1263242040754883\n",
      "2023-11-02 13:52:50.652373 Epoch40,Training loss0.07405606304906356\n",
      "2023-11-02 13:53:08.921426 Epoch50,Training loss0.03622812582595143\n",
      "2023-11-02 13:53:27.120425 Epoch60,Training loss0.039472996464865226\n",
      "2023-11-02 13:53:45.427466 Epoch70,Training loss0.011375056240102573\n",
      "2023-11-02 13:54:03.819457 Epoch80,Training loss0.007714462665259649\n"
     ]
    }
   ],
   "source": [
    "netresdeep = NetResDeep(n_chans1=32,n_blocks=5).cuda()\n",
    "optimizer = optim.SGD(netresdeep.parameters(),lr=0.003)\n",
    "training_loop(n_epochs=80,model=netresdeep,loss_fn=loss_fn,optimizer=optimizer,train_loader=trainset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:54:03.828463100Z",
     "start_time": "2023-11-02T05:51:36.931372500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度:100.000%\n"
     ]
    }
   ],
   "source": [
    "test_loop(netresdeep,testset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:56:13.268284Z",
     "start_time": "2023-11-02T05:56:12.070293700Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 尝试增加深度"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "outputs": [],
   "source": [
    "class NetDepth(nn.Module):\n",
    "    def __init__(self,n_chans=32):\n",
    "        super().__init__()\n",
    "        self.n_chans1 = n_chans\n",
    "        self.conv1 = nn.Conv2d(3,n_chans,kernel_size=3,padding=1)\n",
    "        self.conv2 = nn.Conv2d(n_chans,n_chans//2,kernel_size=3,padding=1)\n",
    "        self.conv3 = nn.Conv2d(n_chans//2,n_chans//2,kernel_size=3,padding=1)\n",
    "        self.fc1 = nn.Linear(4*4*n_chans//2,32)\n",
    "        self.fc2 = nn.Linear(32,2)\n",
    "\n",
    "    def forward(self,x):\n",
    "        out = F.max_pool2d(torch.relu(self.conv1(x)),2)\n",
    "        out = F.max_pool2d(torch.relu(self.conv2(out)),2)\n",
    "        out = F.max_pool2d(torch.relu(self.conv3(out)),2)\n",
    "        out = out.view(-1,4*4*self.n_chans1//2)\n",
    "        out = torch.relu(self.fc1(out))\n",
    "        out = self.fc2(out)\n",
    "        return out\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:39:05.427179400Z",
     "start_time": "2023-11-02T05:39:05.364156100Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-11-02 13:48:34.644673 Epoch1,Training loss0.6776703858071831\n",
      "2023-11-02 13:48:42.364672 Epoch10,Training loss0.35574621939735046\n",
      "2023-11-02 13:48:51.199676 Epoch20,Training loss0.3010531968561707\n",
      "2023-11-02 13:48:59.969650 Epoch30,Training loss0.2667137788739174\n",
      "2023-11-02 13:49:08.501623 Epoch40,Training loss0.24096730175861128\n",
      "2023-11-02 13:49:17.296625 Epoch50,Training loss0.20969996895569903\n",
      "2023-11-02 13:49:26.691662 Epoch60,Training loss0.1869462719009181\n",
      "2023-11-02 13:49:35.430846 Epoch70,Training loss0.16204542975137187\n",
      "2023-11-02 13:49:44.152845 Epoch80,Training loss0.13540806516910056\n"
     ]
    }
   ],
   "source": [
    "netdepth = NetDepth().cuda()\n",
    "optimizer = optim.SGD(netdepth.parameters(),lr=0.01)\n",
    "training_loop(n_epochs=80,optimizer=optimizer,loss_fn=loss_fn,model=netdepth,train_loader=trainset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:49:44.158856100Z",
     "start_time": "2023-11-02T05:48:33.357622900Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度:89.720%\n"
     ]
    }
   ],
   "source": [
    "test_loop(netdepth,testset)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-02T05:50:08.133710600Z",
     "start_time": "2023-11-02T05:50:07.389701800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  }
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